Mad Hedge Biotech and Healthcare Letter
January 2, 2025
Fiat Lux
Featured Trade:
(YOUR NEXT MIRACLE DRUG WAS WRITTEN IN PYTHON)
(IQV), (EXAI), (CRL), (ICLR), (PRXL)
Posts
I had an interesting conversation with my daughter last week during one of her rare appearances from her computer science lab. She was telling me about her latest project - using artificial intelligence to predict protein folding, something that used to take months and now happens in hours.
"Dad," she said, looking up from a bowl of ramen that probably cost me 50 cents, "this is going to change everything about how we make medicine."
She's right, and it got me thinking about the transformation happening in clinical trials - a market currently valued at $57.76 billion that's expected to more than double by 2032.
We're looking at a 7.1% compound annual growth rate, but these numbers only tell part of the story.
I spent some time digging through the data and talking to folks at companies like IQVIA (IQV), where they're using AI to match patients to trials 40% faster than traditional methods.
Think about that for a second - we’re looking at a process that used to take months now happening in weeks, while managing to maintain the kind of accuracy that makes FDA regulators sleep well at night.
Speaking of the FDA, they're cooking up new diversity action plans that aim to make clinical trials look more like actual America. It's definitely the right thing to do, but like most regulatory shifts, it's moving at the speed of government bureaucracy.
This is keeping Contract Research Organizations (CROs) on their toes, though the smart ones are already adapting.
Take Exscientia (EXAI), for example. They're not just using artificial intelligence - they are letting this technology design drug candidates that are already in clinical trials. It's like having a thousand researchers working 24/7 without coffee or bathroom breaks.
But before you rush to buy companies in this sector, it pays to remember that not everyone in this space is thriving.
Charles River Laboratories (CRL) and Icon (ICLR) have been dealing with declining revenues faster than a tech startup burning through venture capital.
The global biotechnology market itself tells an interesting story. Currently valued at $1.55 trillion, it's expected to grow at nearly 14% annually through 2030.
Meanwhile, AI is estimated to generate up to $110 billion in annual economic value for the pharmaceutical industry. That's not pocket change, even by Silicon Valley standards.
Last weekend, while refinishing an antique desk I picked up at an estate sale (turns out it's worth more than my first car), I got a call from a biotech analyst friend. He was worried about the shift in clinical trial geography.
Europe's share of global trials has dropped from 22% to 12% over the past decade, while Asia-Pacific is becoming the new hotspot.
Companies like Parexel (PRXL) and Headlands Research are capitalizing on this trend, particularly in China and India, where regulatory frameworks are streamlining faster than a Formula 1 pit crew.
The traditional factors that used to drive this industry - pure research horsepower and deep pockets - are being replaced by computational efficiency and AI-driven insights.
It's similar to what happened in the financial markets when algorithmic trading took over from floor traders. The winners will be those who adapt fastest to this new reality.
Looking ahead to 2025 and beyond, I'm watching two potential party crashers: a return of regulatory uncertainty and the ever-present possibility of a new pandemic.
But barring these black swan events, we're looking at a sector that's transforming faster than my daughter's college curriculum.
Speaking of which, she just texted me about her latest assignment - using machine learning to optimize clinical trial protocols. Maybe I should start asking her for stock picks.
Mad Hedge Biotech and Healthcare Letter
June 4, 2024
Fiat Lux
Featured Trade:
(FROM PETRI DISH TO PERSONALIZED PRESCRIPTION)
(RXRX), (SDGR), (RLAY), (EXAI), (ABCL), (AMS: BAI), (NVDA), (IBM), (MSFT)
Remember the last time you had to pop a pill that felt like a one-size-fits-all solution? I sure do. It was for a nagging cough, and while it did the trick, the side effects left me feeling like I'd been hit by a truck.
Turns out, Big Pharma is facing its own kind of side effects. They spend an average of $2.6 billion and over a decade to bring a new drug to market. That's like betting on a long shot at the Kentucky Derby, but with way worse odds.
But what if we could change the game entirely? What if drug discovery wouldn’t solely be about blindly mixing chemicals and hoping for the best.
Instead, picture a super-smart robot scientist, capable of reading millions of pages of medical research in seconds, understanding how different molecules interact, and even predicting which ones might be effective against a disease.
This AI-powered scientist could then design experiments to test those molecules, analyze the results, and even create new molecules from scratch, tailored to specific diseases and individual patients.
That's the promise of autonomous drug discovery.
While we've already seen robots and miniaturization speed up the drug discovery process, AI is taking it to the next level. I’m talking about AI agents running the entire show, from brainstorming biological theories to designing and running experiments, all with barely a human finger lift.
This isn't just about efficiency. It's a veritable gold mine of benefits: costs slashed, development times cut down, success rates skyrocketing, and a productivity boost that could revolutionize personalized medicine. And why does that matter?
Because it means treatments that are more effective, safer, and tailored to your unique genetic makeup, medical history, and lifestyle. Imagine popping a pill that's not just designed to treat your disease, but designed specifically for you. That's the kind of future autonomous drug discovery could deliver.
Imagine a world where your next prescription is fine-tuned to your genetic makeup, your medical history, your lifestyle. Sounds like bespoke tailoring, but for your health.
And this isn't just hype – it's backed by hard numbers. A recent study by McKinsey & Company found that AI-enabled drug discovery could potentially generate up to $50 billion in annual value by 2026.
The study also highlighted that AI could reduce the time required for drug discovery by up to 50%, while also improving the success rate of clinical trials.
These aren’t merely some abstract predictions either. In fact, some companies are already making waves in this new world of drug discovery.
Recursion Pharmaceuticals (RXRX), for example, is at the forefront of these innovations. They've developed a radical new drug discovery platform that combines advanced robotics, experimental biology, and machine learning to rapidly identify potential new treatments for a wide range of diseases.
Forget dusty labs and slow, painstaking research. Recursion's approach is like giving Sherlock Holmes a supercomputer to solve medical mysteries, and the results speak for themselves: over 2,000 novel biological relationships discovered and a mind-boggling 150 terabytes of relatable biological data generated.
That's the equivalent of roughly 30 million songs, all focused on cracking the code of human biology and disease.
Recursion isn't the only player here. A slew of innovative companies are riding the AI wave, reimagining the drug discovery landscape.
Schrödinger (SDGR) is turbocharging the process with AI and computational wizardry, using algorithms to predict how potential drugs will behave in the body before even stepping foot in a lab.
Relay Therapeutics (RLAY) is forging new paths by marrying cutting-edge computation with experimental techniques, focusing on how cancer cells move and change shape to develop targeted therapies.
Exscientia (EXAI), the AI-driven pharmatech company, is designing and discovering new drugs with unprecedented speed, while AbCellera Biologics (ABCL) is harnessing the power of AI and machine learning to decode the secrets of our immune systems, hunting for antibodies that could be developed into life-saving drugs. It’s basically like having a crack team of digital detectives scouring your immune system for clues to fight off diseases.
Meanwhile, BenevolentAI (AMS: BAI) is the top name when it comes to clinical-stage AI drug discovery, using a potent combination of AI, machine learning, and cutting-edge science to unravel the complexities of disease biology and unearth novel treatments. They're not simply content with throwing darts at a target. This company is using AI to pinpoint the bullseye.
But, this AI-powered revolution of the healthcare world isn't happening in a vacuum. It's being supercharged by a tag team of tech titans who are bringing their AI firepower to the table.
Think of it as the Avengers assembling to fight disease, but instead of superpowers, they're armed with algorithms and cloud computing.
Nvidia Corporation (NVDA), IBM Corporation (IBM), and Microsoft Corporation (MSFT) are leading the charge, providing the AI muscle needed to accelerate drug discovery.
Nvidia's Clara Discovery platform, IBM Watson Health, and Microsoft Azure's AI and machine learning services are all being harnessed to build, train, and deploy AI models for a wide range of applications in the biotech and healthcare sectors. It's like having Tony Stark, Bruce Banner, and Thor all working together to create the next medical breakthrough.
And this isn't some wishful thinking. The use of AI in biopharma R&D is projected to skyrocket, growing at a compound annual growth rate of 30% to 40% over the next five years.
Plus, the impact could be huge: AI could potentially boost clinical trial efficiency by 15% to 20% and slash the overall cost of drug development by 10% to 15%. Talk about a win-win situation.
All in all, it’s clear that this AI drug discovery thing isn't just a fad. It's a full-blown revolution that's shaking up the healthcare world as we know it. And while it's still in the early innings, it would be wise to keep a close eye on it. I'm not saying you should throw all your money in right this second, but seriously, put the companies above on your radar.
These are the trailblazers leading the charge into the future of personalized medicine. Who knows, they might just be the ticket to a healthier portfolio—and a healthier you.
Mad Hedge Biotech and Healthcare Letter
January 23, 2024
Fiat Lux
Featured Trade:
(PHARMA'S AI PLAY: A MASTERSTROKE OR MISFIRE?)
(AZN), (ILMN), (NVDA), (SDGR), (EXAI), (SNY), (BAIVF), (SNY), (GOOGL), (PFE), (IBM), (NVS), (BAYR), (RHHBY), (VRTX), (JNJ)
Faced with an aging blockbuster pipeline and a competitive landscape where some of its rivals are sprinting ahead, AstraZeneca (AZN) is making a bold move - doubling down on Artificial Intelligence (AI).
This isn't just about keeping up with the Joneses (or in this case, their industry rivals); it's a calculated gamble with the potential to redefine drug discovery. The million-dollar question is: will this tech-savvy move send its shares soaring or just keep it in the running?
Let's address the elephants in the room of drug development. It's a long and winding road, with more dead ends than a maze in a horror movie. The usual grind? Spend ages finding a glimmer of hope in therapy targets and molecules, only for a paltry 21% to get the regulatory thumbs up after clinical trials.
So, you can bet your bottom dollar that if there’s a technology promising to up those odds and speed things up, companies will be jumping on the bandwagon faster than you can say "biotech boom."
And AstraZeneca? They are fully committing to AI, making significant waves in the field.
Case in point: their recent team-up with Absci, an AI drug discovery outfit. They're talking about developing a cancer-fighting antibody, with a potential payout of up to $247 million in milestone payments. If this pans out, it could be the first of many high-fives between the two.
But AstraZeneca's history with AI extends beyond this collaboration. Last September, they put up to $840 million on the line with Verge Genomics, aiming to tackle neurodegenerative diseases.
Add to that their work with Illumina (ILMN) and Nvidia (NVDA) in 2021 for some supercomputing firepower, and you've got a company that's serious about its AI game. They’ve even got a couple of AI-bred candidates in their pipeline, though it’s hush-hush on how those are faring.
And before you think it’s all about the new kids on the block, AstraZeneca has been rubbing elbows with Schrodinger (SDGR) since before 2020, working on making their biological medicine modeling sharper than a tack.
However, AstraZeneca is far from being the lone ranger in this new frontier.
Exscientia (EXAI) and Sanofi (SNY) are pairing up to take on COPD with an AI-driven approach. Meanwhile, BenevolentAI (BAIVF) played matchmaker between baricitinib and its new role as a COVID-19 treatment contender.
Over at Google’s (GOOGL) DeepMind, they’ve cooked up AlphaFold, an AI program adept at unraveling protein structures – a feat that’s akin to finding a map to hidden treasure in drug design.
And let's not forget the big guns. Pfizer (PFE) has teamed up with IBM’s (IBM) AI and supercomputing prowess, a partnership that’s been pivotal in accelerating the development of COVID-19 treatments like Paxlovid.
Novartis (NVS) is another key player, wielding AI to shave years off its drug development timeline, a strategy that could redefine the pace of pharmaceutical innovation.
Not to be outdone, Roche (RHHBY) is utilizing AI for a spectrum of tasks, from target identification to the virtual screening of molecules, illustrating the technology’s versatility in the drug discovery process.
Bayer (BAYRY) is also making a significant bet on AI to uncover new therapies, focusing on areas like immuno-oncology and cardiovascular diseases, areas with immense potential for groundbreaking treatments.
Vertex Pharmaceuticals (VRTX) and Johnson & Johnson (JNJ) are part of this evolving landscape as well, leveraging AI to enhance various stages of drug development. Their involvement underscores the widespread adoption of AI across different phases of the pharmaceutical process, from initial research to clinical trials.
Now, let’s go back to AstraZeneca. Best-case scenario? They cut their R&D budget, which was a cool $9.8 billion in 2022 while keeping the pedal to the metal on their clinical trials.
Worst case? Their AI bets don't pay off big time. But let's be real, with AI tech moving faster than a New York minute, that's looking less and less likely.
So, should you invest in AstraZeneca stocks right now? Not so fast. Jumping on the AI bandwagon isn't a golden ticket on its own.
Remember, everyone and their mother in big pharma is chasing the same AI dream. For now, it’s a case of watch, wait, and see how this fusion of AI and pharmaceuticals reshapes the landscape of drug discovery and development. Keep your ears to the ground – this is one race you don't want to miss.
